Evidence map›Paper›PMID 24938441›Full record

ReviewCurrent rheumatology reports2014

Use of DXA-based technology for detection and assessment of risk of vertebral fracture in rheumatology practice.

Michael Maricic

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Incidence of fractures among patients with rheumatoid arthritis: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Mandibular bone mineral density in patients with Behçet's disease.Therapeutics and clinical risk management · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Michael MaricicCatalina Pointe Rheumatology, 7520 N. Oracle Road, Suite 100, Tucson, AZ, 85704, USA, mikemaricic@msn.com.
Catalina Scientific (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurement of bone mineral density (BMD) by dual-energy X-ray absorptiometry (DXA) is the recommended method for diagnosis of osteoporosis and assessment of future fracture risk. However, most patients who will suffer fractures do not have osteoporosis by DXA (T-score of -2.5 or less). Bone strength, which is most closely associated with resistance to fracture, is a composite of both bone density and bone quality, and the latter is not measured by DXA. Thus, other technology is needed for non-invasive and inexpensive assessment of bone strength and fracture risk. Vertebral fractures, the most common clinical fracture in the general population, are of even greater importance in rheumatoid arthritis and other rheumatic disorders. Vertebral fracture assessment (VFA) and trabecular bone scores (TBS), two techniques which can aid prediction of future fracture risk, can be used with currently available DXA machines. Description of these techniques and their potential application to clinical rheumatology practice will be the focus of this paper.

Indexed as

Absorptiometry, PhotonAorta, AbdominalAortic ValveAortic Valve StenosisArthritis, RheumatoidCalcinosisHumansOsteoporosisOsteoporotic FracturesRisk AssessmentSpinal Fractures

Identifiers

PMID24938441
OpenAlexW2042919224

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.